a:1:{s:5:"en_US";s:51:"National Laboratory of Health, Environment and Food";}.
National Laboratory of Health, Environment and Food.
Acta Biomed. 2021 Jul 1;92(3):e2021094. doi: 10.23750/abm.v92i3.11354.
COVID-19 is a persistent and ongoing global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Non-anthropogenic factors, such as weather conditions and air quality are possible predictors of respiratory diseases, such as COVID-19. Weather conditions may also be a direct cause of biological interactions between SARS-CoV-2 and humans and vary widely between regions. The course of an epidemic is determined by several factors, including demographic and environmental parameters, many of which have an unknown correlation with COVID-19. The goal of this study is to access the influence of ground surface particulate matter and weather parameters on the dissemination of COVID-19 in Ljubljana, Slovenia.
Spearman rank correlation was used to investigate the association between new daily COVID-19 cases and weather data.
The current study has found correlations between weather variables and PM particles with new cases of COVID-19.
The correlations observed are highly dependent on the local policies that were in force during the period under study. The interaction between weather conditions and human behaviour may also be an important factor in understanding the relationship between weather and the spread of COVID -19.
COVID-19 是由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起的持续存在且不断发展的全球大流行疾病。非人为因素,如天气条件和空气质量,可能是 COVID-19 等呼吸道疾病的预测指标。天气条件也可能是 SARS-CoV-2 与人类之间生物相互作用的直接原因,且在不同地区之间差异很大。传染病的进程由多种因素决定,包括人口统计学和环境参数,其中许多因素与 COVID-19 存在未知的相关性。本研究的目的是评估地面颗粒物和天气参数对斯洛文尼亚卢布尔雅那 COVID-19 传播的影响。
采用 Spearman 秩相关分析方法研究 COVID-19 新发病例与天气数据之间的相关性。
本研究发现了天气变量和 PM 颗粒与 COVID-19 新发病例之间的相关性。
观察到的相关性高度依赖于研究期间实施的当地政策。天气条件和人类行为之间的相互作用可能也是理解天气与 COVID-19 传播之间关系的一个重要因素。